Genomic Intelligence

• list_models — List available models for a task. Use to discover model ids before passing one as the `model` argument to a predict tool. The same catalog is a
• fetch_ensembl_sequence — Fetch a gene's reference sequence from Ensembl and store it. Returns a handle ({ref, name, length, preview, ...}). Pass the `ref` to predict_*
• fetch_region — Fetch a genomic region by coordinates from Ensembl and store it. For "find the genes in chr8:127,680,000-127,800,000"-style requests: resolves
• fetch_gene_for_expression — Fetch a gene's sequence prepared for expression prediction. Resolves the gene's TSS via Ensembl and returns the exact TSS-centred 9,198 bp wind
• load_demo_sequence — Load a bundled demo reference sequence and return a handle. The server ships one curated, task-correct positive control per task (list them via
• store_inline_sequence — Store a human-pasted sequence and return a handle to re-use it. For a sequence you've already pasted into the conversation, this gives back a s
• predict_promoter — Predict promoter regions (G0). 300–500,000 bp. Returns the {data, meta} envelope: data.regions lists predicted promoters with start/end/score.
• predict_splice — Predict splice donor/acceptor sites (G0 BigBird). 100–500,000 bp. The model reads a 15,000 bp context window, so anything shorter is scored aga
• predict_enhancer — Predict enhancer activity (G0 DeepSTARR). 50–500,000 bp. 50 bp is the task's admission floor (the API 422s below it), not a statement about wha
• predict_chromatin — Chromatin annotation across 919 features (G0 DeepSEA). 200–500,000 bp. The model reads a 1,000 bp context window; 200–999 bp is accepted and sc
• predict_expression — Predict a gene's expression from a TSS-centred window. Expression is cell-type-specific, so `description` (cell type / assay context, e.g. 'K56
• find_genes

No long description beyond the summary.